1 citations · 1 across the 3 of their papers we have counts for
4 papers
Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types
Michał Romaszewski, Kamil Drejer, Katarzyna Kołodziej +7
Sentinel-2 imagery offers open access, global coverage, and frequent revisit times, making it attractive for practical building mapping at scale; however, its native 10m resolution…
Quantum-aware Transformer model for state classification
Przemysław Sekuła, Michał Romaszewski, Przemysław Głomb +2
Entanglement is a fundamental feature of quantum mechanics, playing a crucial role in quantum information processing. However, classifying entangled states, particularly in the mix…
Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models
Michał Romaszewski, Przemysław Sekuła, Przemysław Głomb +2
Large Language Models (LLMs) have shown exceptional performance in text processing. Notably, LLMs can synthesize information from large datasets and explain their decisions similar…
Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study
Przemysław Sekuła, Nikola Marković, Zachary Vander Laan +1
This paper focuses on the problem of estimating historical traffic volumes between sparsely-located traffic sensors, which transportation agencies need to accurately compute statew…